Instructions to use vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dunzhang/stella_en_1.5B_v5") model = PeftModel.from_pretrained(base_model, "vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a/resolve/main/training_args.bin
- Command line
-
hf download hf://vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vertings6/d824f7fa-0346-438c-a9d6-dcf20caaea0a/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 0f2c025dabf101fb6deed5a95608279467978fe5f83426c3e0d46ec71ada62a5
- Size of remote file:
- 6.78 kB
- SHA256:
- 72f978856ae35fa646d90b83885a62c527d88661371a9e60d9ccf5bee1deeed4
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